Data Engineer

Location: Remote (All-Star Candidate) / Ohio Preferred Duration: 6-Month Contract-to-Hire Key Responsibilities • Design, develop, and maintain scalable data pipelines using Snowflake and the Microsoft Fabric ecosystem. • Support, troubleshoot, and stabilize existing enterprise data platforms and data integration processes. • Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and/or DBT. • Develop and maintain high-performance SQL queries, stored procedures, and data transformations. • Create scalable data processing solutions using Python and Databricks. • Design and manage enterprise data models and data warehouse solutions. • Work within the Microsoft Fabric ecosystem, including OneLake and Synapse Analytics. • Integrate data from enterprise applications, including Microsoft Dynamics 365 CRM and Finance & Operations. • Collaborate with business users, analysts, and application teams to gather requirements and deliver scalable data solutions. • Monitor data quality, pipeline performance, and system reliability. • Support reporting and analytics initiatives using Power BI. • Participate in Data & AI modernization initiatives and leverage AI-assisted development tools such as GitHub Copilot. • Document data processes, architecture, and technical solutions while following best practices for data governance and security. Must-Have Skills • 2-5+ years of Data Engineering experience • Snowflake – SNOWFLAKE is the Primary skill. • Azure Data Factory (ADF) and/or DBT • SQL • Python • Data bricks • Microsoft Fabric ecosystem Strongly Preferred • OneLake • Synapse • Power BI • Dynamics 365 (CRM and F&O) • AI concepts/tools (GitHub Copilot, AI-assisted development) What They're Looking For This person will support and stabilize an inherited data platform while helping build the company's future-state Data & AI environment. Strong troubleshooting skills, ownership mentality, and experience within the Microsoft Fabric stack are highly valued.